зеркало из https://github.com/microsoft/torchgeo.git
Fix SpaceNet 1px diff (#174)
* Fix SpaceNet 1px diff * Remove obsolete warnings
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c9a788a666
Коммит
c29d3c8f6e
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@ -54,6 +54,11 @@ class SpaceNet(VisionDataset, abc.ABC):
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def collection_md5_dict(self) -> Dict[str, str]:
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"""Mapping of collection id and md5 checksum."""
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@property
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@abc.abstractmethod
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def chip_size(self) -> Dict[str, Tuple[int, int]]:
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"""Mapping of images and their chip size."""
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def __init__(
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self,
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root: str,
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@ -82,7 +87,7 @@ class SpaceNet(VisionDataset, abc.ABC):
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self.root = root
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self.image = image # For testing
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if not collections:
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if collections:
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for collection in collections:
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assert collection in self.collection_md5_dict
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@ -190,7 +195,8 @@ class SpaceNet(VisionDataset, abc.ABC):
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h, w = img.shape[1:]
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mask = self._load_mask(files["label_path"], tfm, (h, w))
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sample = {"image": img, "mask": mask}
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ch, cw = self.chip_size[self.image]
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sample = {"image": img[:, :ch, :cw], "mask": mask[:ch, :cw]}
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if self.transforms is not None:
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sample = self.transforms(sample)
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@ -274,10 +280,7 @@ class SpaceNet1(SpaceNet):
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* No. of polygons: 382,534 building labels
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* Area Coverage: 2544 sq km
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* GSD: 1 m (8 band), 50 cm (rgb)
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* Chip size: 102 x 110 (8 band), 407 x 439 (rgb)
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.. note::
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Chip size of both imagery can have 1 pixel difference
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* Chip size: 101 x 110 (8 band), 406 x 438 (rgb)
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Dataset format:
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@ -302,6 +305,7 @@ class SpaceNet1(SpaceNet):
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dataset_id = "spacenet1"
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imagery = {"rgb": "RGB.tif", "8band": "8Band.tif"}
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chip_size = {"rgb": (406, 438), "8band": (101, 110)}
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label_glob = "labels.geojson"
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collection_md5_dict = {"sn1_AOI_1_RIO": "e6ea35331636fa0c036c04b3d1cbf226"}
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@ -380,9 +384,6 @@ class SpaceNet2(SpaceNet):
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- 650 x 650
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- 650 x 650
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.. note::
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Chip size of MS images can have 1 pixel difference
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Dataset format
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@ -421,6 +422,12 @@ class SpaceNet2(SpaceNet):
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"PS-MS": "PS-MS.tif",
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"PS-RGB": "PS-RGB.tif",
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}
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chip_size = {
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"MS": (162, 162),
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"PAN": (650, 650),
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"PS-MS": (650, 650),
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"PS-RGB": (650, 650),
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}
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label_glob = "label.geojson"
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def __init__(
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